SENIOR FULL STACK SOFTWARE ENGINEER

Accountabilities The Senior Full Stack Software Engineer will be responsible for designing, developing, and maintaining cloud-native applications while ensuring high standards of quality, scalability, and performance. • Design, develop, test, deploy, and maintain complex full stack web applications using cloud-native technologies and microservices architecture. • Build scalable backend services using Node.js while developing modern, responsive user interfaces with React and related UI frameworks. • Develop serverless applications leveraging AWS services such as Lambda, SNS, SQS, S3, IAM, CloudWatch, RDS, and DynamoDB. • Design and implement cloud-based data processing and automation solutions that support high-quality transactional systems. • Create technical designs, write clean and maintainable production code, and prepare comprehensive technical documentation. • Develop automated test suites, perform unit testing, and contribute to overall software quality assurance. • Collaborate with architects, UX teams, infrastructure specialists, and other engineering teams to deliver end-to-end solutions. • Monitor application performance, troubleshoot issues, and continuously improve system reliability and scalability. • Contribute to DevOps practices, CI/CD pipelines, and Infrastructure as Code initiatives. • Support Agile development processes and actively contribute to team success through knowledge sharing and collaboration. Requirements: The ideal candidate has strong experience building cloud-native applications using modern JavaScript technologies, microservices, and AWS infrastructure. • Proven experience developing full stack applications using Node.js and modern JavaScript or TypeScript. • Strong frontend development experience with React and contemporary UI frameworks. • Hands-on experience designing and implementing microservices and serverless architectures. • Advanced knowledge of AWS services, including Lambda, SNS, SQS, S3, IAM, CloudWatch, RDS, DynamoDB, and AWS CI/CD tools. • Experience creating automated testing frameworks, unit tests, and quality assurance processes. • Strong understanding of object-oriented programming principles and computer science fundamentals. • Experience working with relational and NoSQL databases. • Familiarity with Infrastructure as Code solutions such as AWS CloudFormation or similar technologies. • Experience working in Agile Scrum environments with a collaborative, team-oriented mindset. • Strong analytical, problem-solving, and communication skills with a customer-focused approach. • Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. • Relevant AWS or other professional cloud certifications are considered an advantage. • Curiosity, adaptability, and a willingness to continuously learn new technologies and engineering practices. Benefits: • Opportunity to work on modern cloud-native and serverless technologies. • Exposure to large-scale distributed systems and data-driven applications. • Collaborative Agile environment with experienced engineering teams. • Opportunities to work with modern AWS services, DevOps practices, and microservices architecture. • Professional development through challenging technical projects and continuous learning. • Cross-functional collaboration with architects, UX specialists, and infrastructure teams. • Opportunity to contribute to innovative software solutions with meaningful business impact. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1